TY  - JOUR
T1  - Energy Efficient Clustering Algorithm for Throughput Maximization using Mobile 
  Sink for Wireless Sensor Networks
AU - Arthi, K. AU - Vanaja Ranjan, P. 
JO  - Asian Journal of Information Technology
VL  - 12
IS  - 11
SP  - 360
EP  - 368
PY  - 2013
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2013.360.368
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2013.360.368
KW  - Data collection
KW  -dual cluster head
KW  -mobile sink
KW  -time synchronization
KW  -TinyOS
KW  -wireless sensor network
AB  - Wireless Sensor Networks (WSNs) using mobile sink along a fixed trajectory is proved to be efficient in terms of data collection. Most of the existing algorithms using mobile sink have not considered the lifetime of sensor nodes near the mobile sink’s trajectory that participate in data relay on behalf of other nodes. This results in fast depletion of battery power of these nodes which ends up in network partitioning, thereby result in network instability. To overcome this situation, a novel clustering algorithm is proposed which segregates the nodes into zones along the trajectory of the mobile sink and schedules the sleep-wake period of the nodes such that the life of the nodes close to the trajectory is increased 48.3% compared to the standard algorithm. An Adaptive Time Synchronization (ATS) algorithm is also developed for effective data transfer among clusters. The proposed techniques are validated through simulation and real time experiments using TinyOS environment.
ER  -